Phylogenetic trees represent the historical evolutionary relationships between different species or organisms. Creating and maintaining a repository of phylogenetic trees is one of the major objectives of molecular evolution studies. One way of mining phylogenetic information databases would be to compare the trees by using a tree comparison measure. Presented here are a new dissimilarity measu...

The evolutionary tree is an important topic in bioinformation. In 2006, Chen and Lindsay proposed a new method to build the mixture tree from DNA sequences. Mixture tree is a new type evolutionary tree, and it has two additional information besides the information of ordinary evolutionary tree. One of the information is time parameter, and the other is the set of mutated sites. In 2008, Lin and...

the ability of trees to trap dusts convinces their use for preventing the transport of dust over longer distances. this ability is increasingly important in threatened areas with dust invasion. the purpose of this study was to compare the size and distribution of particles deposited on the leaves surface of fraxinus rotundifolia, platanus orientalis, and robinia pseudoacacia trees, in paveh, we...

Tree-based methods have become popular for analyzing complex data structures where the primary goal is risk stratification of patients. Ensemble techniques improve the accuracy in prediction and address the instability in a single tree by growing an ensemble of trees and aggregating. However, in the process, individual trees get lost. In this paper, we propose a methodology for identifying the ...

Classification trees (J48) were induced to predict the habitat requirements of tench (Tinca tinca). 306 datasets were used for the given fish during 8 years in the river basins in Flanders (Belgium). The input variables consisted of the structural-habitat (width, depth, gradient slope and distance from the source) and physic chemical (pH, dissolved oxygen, water temperature and electric conduct...

Among the methods currently available for inferring species trees from gene trees, the GLASS method of Mossel and Roch (2010), the Shallowest Divergence (SD) method of Maddison and Knowles (2006), the STEAC method of Liu et al. (2009), and a related method that we call Minimum Average Coalescence (MAC) are computationally efficient and provide branch length estimates. Further, GLASS and STEAC h...